Data Scientist in York

Data Scientist in York

York Full-Time No working from home possible
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Data Scientist | Financial Services

York (2 days per week onsite)

Salary Up to Β£70,000 + 15% Bonus + Benefits

Build ML solutions that actually make it into production.

We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability. This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered across the business.

This isn't a research-only environment. You'll work on real business problems, build machine learning models that drive decision-making, and collaborate closely with engineering teams to see your work deployed and used at scale.

What you'll be doing:

  • Partnering with stakeholders to turn business challenges into Data Science solutions
  • Exploring, preparing and analysing large, complex datasets
  • Building, testing and evaluating machine learning models
  • Applying techniques such as regression, classification, clustering and forecasting
  • Writing clean, maintainable Python code
  • Working alongside ML Engineers to deploy models into production
  • Monitoring model performance and identifying opportunities for improvement
  • Presenting findings to both technical and non-technical audiences
  • Helping establish best practices across Data Science, experimentation and model governance

We're looking for:

  • Commercial experience as a Data Scientist
  • Strong Python and SQL skills
  • Hands-on experience building Machine Learning models
  • Expertise in feature engineering, model evaluation and model selection
  • Experience working with large datasets
  • Exposure to Azure, AWS or GCP
  • Strong stakeholder management and communication skills
  • Experience taking models beyond experimentation into production is highly desirable

(No Visa Sponsorship Available)

RSG Plc is acting as an Employment Agency in relation to this vacancy.

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Contact Details:

Method-Resourcing Careers Recruitment Team